Electric energy storage (EES) technology has the potential to facilitate the large-scale deployment of variable renewable electricity generation, such as wind and solar power, which is an important option for reducing GHG emissions from the electric power sector. Wind and solar power emit no carbon dioxide (CO2) during electricity generation but are also variable or intermittent electricity sources. Wind power only produces electricity when the wind is blowing and solar power only when the sun is shining, thus the output of these sources varies with wind speeds and sunshine intensity. Since operators of the electricity grid must constantly match electricity supply and demand, this makes variable renewable resources more challenging to incorporate into the electricity grid than traditional baseload (e.g. coal and nuclear) and dispatchable (e.g. natural gas) generation technologies, which can be scheduled to produce power in specific amounts at specific times. Electric grid operators have several options for managing the variability of electricity supply introduced by large amounts of renewable generation, one of which is EES.1
EES promises other benefits unrelated to renewable energy, such as improved grid reliability and stability, deferral of new generation and transmission investments, and other grid benefits.2
EES technologies vary by method of storage, the amount of energy they can store, and how quickly and for how long they can release stored energy. Some EES technologies are more appropriate for providing short bursts of electricity for power quality3 applications, such as smoothing the output of variable renewable technologies from hour to hour (and to a lesser extent within a time scale of seconds and minutes); however, EES is not currently used specifically to smooth out renewable generation.4 Other EES technologies are useful for storing and releasing large amounts of electricity over longer time periods (this is referred to as peak-shaving, load-leveling, or energy arbitrage).5 These EES technologies could be used to store variable renewable electricity output during periods of low demand and release this stored power during periods of higher demand. For example, wind farms often generate more power at night when winds speeds are high but demand for electricity is low; EES could be used to shift this output to periods of high demand.
The major technology options for EES include the following:
While EES is not needed with current levels of renewable generation nor with renewable generation levels projected in the near term, greater use of EES can potentially enable very large penetration of variable renewable generation in the longer term by lowering the cost of connecting these resources with the transmission grid and of managing the increased variability of generation.16 For example, a recent modeling analysis conducted by the National Renewable Energy Laboratory (NREL) examined the effect of EES on wind power.17 In a “business-as-usual” case, NREL’s model projected that building about 30 GW of EES could allow for the installation of an additional 50 GW of wind generation capacity by 2050 (a 17 percent increase compared to a scenario with no EES). NREL also modeled a scenario that required 20 percent of electricity to come from wind power by 2030. In this case, NREL found that investments in EES (in the form of CAES) became economic once wind penetration reached 15 percent of generation and that EES would lower the cost of electricity in the case of high wind penetration by 3 percent (about $3/MWh) in 2050.18
EES enables GHG emission reductions by two main mechanisms:
However, EES can also increase GHG emissions if recharged with cheap electricity from high-carbon baseload coal power plants to displace more expensive peaking power from lower-carbon natural gas generators. The GHG emission reduction potential from EES depends on its use with renewable or low-carbon (i.e. nuclear or coal with carbon capture and storage (CCS)) resources.
The up-front capital costs of EES vary by technology. Total capital costs per unit of power capacity for most EES technologies are high compared to a $800-1100/kW natural gas power plant,20 varying from $300-$450/kW for SMES and ultracapacitors, $600-$1800/kW for CAES, $1500-$3000/kW for batteries, $2000/kW or more for hydrogen and fuel cells,21 $2500-$4000/kW for pumped hydro, and $3700-$4300/kW for flywheels.22 These costs are highly uncertain and complicated by the fact that the cheaper technologies, such as SMES, ultracapacitors, and some batteries, are only available with small (a few kilowatt to MW) power capacities. Integrating many small units of these cheaper storage technologies into a 100+ MW-scale utility application would lead to additional cost and complexity.
The cost premium for stored electricity,23 which depends on the lifetime of the EES technology and its useable energy storage capacity, are not well understood for most EES technologies. One study calculated a cost premium of $0.05-0.12/kWh for pumped hydro storage, $0.07-0.86/kWh for batteries, and $0.07-0.64/kWh for flywheels.24 EES technologies at the low cost ranges seem promising in a few applications when competing against average U.S. peak electricity prices of $0.18/kWh.25
TES for solar thermal power plant and end-use applications are also commercially promising. A solar thermal power plant with TES is projected to have a lower levelized cost of electricity26 compared to a solar thermal power plant without storage.27,28 The Electric Power Research Institute (EPRI) has also found that the use of end-use TES systems can save between 2-7 percent of annual heating/cooling energy costs, if well-designed.29
The current use of EES technologies is limited compared to the rates of storage in other energy markets such as the natural gas or petroleum markets. EES capacity, most of which is pumped hydro, is only 2.5 percent of U.S. electric power capacity.30 However, demonstration projects of various EES technologies are underway in the U.S. and internationally.
Climate Change 101: Technology. See Global Warming Basics - Climate Change 101
Komor, Paul. 2009. Wind and Solar Electricity: Challenges and Opportunities. Forthcoming.
Morgan, Granger, Jay Apt, and Lester Lave. 2005. The U.S. Electric Power Sector and Climate Change Mitigation. See Elecricity.
American Physical Society (APS). 2007. Challenges of Electricity Storage Technologies.
California Independent System Operator (CAISO). 2007. Integration of Renewable Resources: Transmission and Operating Issues and Recommendations for Integrating Renewable Resources on the California ISO-Controlled Grid. See Chapter 7, “Storage Technology.”
Denholm, Paul. 2008. The Role of Energy Storage in the Modern Low-Carbon Grid. National Renewable Energy Laboratory.
Electric Power Research Institute/Department of Energy. Handbook of Energy Storage for Transmission and Distribution Applications. Palo Alto, CA: 2003. 1001834.
Electricity Advisory Committee. 2008. Bottling Electricity: Storage as a Strategic Tool for Managing Variability and Capacity Concerns in the Modern Grid.
International Energy Agency (IEA). 2008. Empowering Variable Renewables: Options for Flexible
Electricity Systems.
Jewell, Ward et al. 2004. Evaluation of Distributed Electric Energy Storage and Generation. Power Systems Engineering Research Center.
Lee, Bernard and David Gushee. 2008. Massive Electricity Storage. American Institute of Chemical Engineers.
National Renewable Energy Laboratory (NREL). “Energy Storage Basics.”
National Renewable Energy Laboratory (NREL). “Energy Storage and Wind Power.”
Peters, Roger and Lynda O’Malley. 2008. Storing Renewable Power. Pembina Institute.
Rastler, Dan. 2008. “Demand for New Energy Storage.” Electricity Perspectives. Sept/Oct.
Walawalkar, Rahul, and Jay Apt. 2008. Market Analysis of Emerging Electric Energy Storage Systems. National Energy Technology Laboratory.
Yan, Chi-Jen and Eric Williams. 2009. Energy Storage for Low-Carbon Electricity. Duke University Climate Change Policy Partnership.
1 Other approaches for managing the variability of renewable generation include increasing the interconnectedness of electric grids, developing more flexible generation technologies capable of increasing or decreasing output at faster rates (called ramping rates), demand response programs which create flexibility in demand, and market mechanisms, such as different pricing structures for variable renewable resources. For more information, see the resources under Further Reading, especially the Pew Center’s report on wind and solar power and the reports from IEA and CalISO.
2 Jewell, Ward et al. 2004. Evaluation of Distributed Electric Energy Storage and Generation. Power Systems Engineering Research Center.
3 Power quality is defined as the provision of power with specified voltage and frequency characteristics to the customer. Small imbalances in the sub-minute time frame between electric supply and demand, and the physical properties of electric generators, electricity-consuming devices, and the transmission grid itself lead to small deviations (1 to 5 percent) between the expected and actual voltage and frequency of power delivered, which can cause highly sensitive equipment such as computers to fail. When electric supply and demand are in balance, these deviations in voltage and frequency are eliminated.
4 California Independent System Operator (CAISO). 2007. Integration of Renewable Resources: Transmission and Operating Issues and Recommendations for Integrating Renewable Resources on the California ISO-Controlled Grid. See Chapter 7, “Storage Technology.”
5 Load leveling or peak shaving refers to the use of electricity stored during times of low demand to supply peak electricity demand, which reduces the need for electric generation from peaking power plants. The use of EES for load-leveling is also known as “energy arbitrage” since it may be possible to earn a profit by charging EES with cheap electricity when demand is low and selling discharged electricity are a higher price when demand is high. Load leveling can also be achieved through demand-side measures such as using higher peak prices to induce a reduction in peak demand through demand charges, real-time pricing, or other market measures.
6 Rastler, Dan. 2008. “New Demand for Energy Storage.” Electricity Perspectives. Sept/Oct.
7 Ibid.
8 Generators (and potentially EES) provide energy and ancillary services to electricity markets. Energy services are defined as providing electric generation to meet demand, usually scheduled on a day-ahead basis. The term, “ancillary services” includes a variety of services related to power quality. For example, in some electricity markets, generators (and potentially EES) are paid for the capacity of power they can produce, whether or not they are actually generating, in order to ensure that the market has sufficient capacity to meet peak demand.
9 Spinning reserve is an ancillary service in the electricity market defined as the ability of (usually a generator) to remain on and ready to start generating given notice over a short period of time (15 minutes to an hour).
10 Regulation refers to an ancillary electric service (usually provided by electric generators) to maintain power quality by following unpredicted minute-by-minute fluctuations in electric demand.
11 Price, H., et al. (2002). “Advances in Parabolic Trough Power Technology.” Journal of Solar Energy Engineering 124: 109-125.
12 End-use thermal energy storage could also be considered a type of demand response as it reduces the electricity use of heating or air conditioning systems during times of peak demand. By pre-cooling or heating the building during off-peak times and using a few hours of hot or cold storage in the form of aquifers, water/ice tanks, or heat storage materials, the heating, air-conditioning, and refrigeration loads of the building can be shifted to off-peak hours. For more information, see International Energy Agency Energy Conservation through Energy Storage website. Kintner-Meyer, M, and Emery, A. F. 1995. “Optimal control of an HVAC system using cold storage and building thermal capacitance.” Energy and Buildings. Vol. 23, p.19-31.
13 Schoenung, S. M. Hydrogen Energy Storage Comparison. Department of Energy.
14 American Physical Society (APS). 2007. Challenges of Electricity Storage Technologies.
15 Ibid.
16 Denholm, Paul. 2008. The Role of Energy Storage in the Modern Low-Carbon Grid. National Renewable Energy Laboratory. See http://tinyurl.com/d4t4pu.
17 Sullivan,P., Short, W., and Blair, N. 2008. “Modeling the Benefits of Storage Technologies to Wind Power.” American Wind Energy Association (AWEA) WindPower 2008 Conference. Conference Paper NREL/CP-670-43510.
18 Ibid.
19 Greenblatt, J. B., Succar, A., Denkenberger, D. C., Williams, R. H., and Socolow, R. H. 2007. “Baseload wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation.” Energy Policy. 35: 1474–1492.
20 California Public Utility Commission.Greenhouse Gas Modeling. “New Combined Cycle Gas Turbine (CCGT) Generation Resource, Cost, and Performance Assumptions.” Development and construction capital costs from 2002 escalated by 3% per year to 2009 from Northwest Council. “Natural Gas Simple-Cycle Gas Turbine Power Plants.”
21 Schoenung, 1999. Hydrogen storage cost/storage hour figures are escalated by 3% from 1999-2009.
22 Rastler, 2008.
23 The cost premium is the difference between the cost of electricity discharged from an EES facility and the cost of the electricity used to charge the EES facility.
24 Poonpun, P., and Jewell, W. T. 2008. “Analysis of the Cost per Kilowatt Hour to Store Electricity.” IEEE Transactions on Energy Conversion. Vol 23. No 2. June.
25 Ibid.
26 Levelized cost of electricity (LCOE) is defined as the ratio of the sum of the plant operation and maintenance costs and amortized capital costs to the annual plant generation.
27 Price, H., et al.,2002
28 While TES increases the capital costs of a solar thermal power plant, it also increases the total electricity output from the power plant by using a larger solar collector to heat the molten salt-based TES material and allowing the plant to operate during sundown. The increase in power output is greater than the increase in capital costs for the TES material and additional solar collector area.
29 Electric Power Research Institute. “Thermal Energy Storage Systems Operation and Control Strategies Under Real-Time Pricing.” Palo Alto, CA: 2004. 1007401.
30 APS, 2007.
31 Rastler, 2008, claims there are 150 pumped hydro storage facilities providing up to 22 GW of electric storage.
32 APS, 2007, claims there are 38 pumped hydro plants providing 19 GW of electric storage in U.S.
33 Sullivan, et. al., 2008.
34 Business Insights. 2009. “The Future of Electrical Energy Storage: The Economics and Potential of New Technologies.” Executive Summary.
35 Rastler, 2008.
36 Sullivan, et. al., 2008.
37 Rastler, 2008.
38 Gyuk, I., Kulkarni, P., Sayer, J. H., Boyes, J. D., Corey, G. P. and Peek, G. H. 2005. “The United States of Storage.” IEEE Power & Energy Magazine. March/April.
39 APS 2007
40 Kintner-Meyer, M, and Emery, A. F. 1995
41 Baker, J. 2008. “New Technology and Possible Advances in Energy Storage.” Energy Policy. Vol. 36, p 4368–4373.
42 APS, 2007
43 Schoenung, 1999.
44 Cyle life is defined as the number of times an EES technology can be charged and discharged up to its maximum charging capacity during its lifetime.
45 Walawalkar, Rahul, and Jay Apt. 2008. Market Analysis of Emerging Electric Energy Storage Systems. National Energy Technology Laboratory.
46 Rastler, 2008.
47 Energy density is defined as the ratio of the energy storage capacity in kWh to the physical footprint required for the technology, often in expressed in units of square meters. Energy density is most important for vehicular applications.
48 APS, 2007.
49 Walawalkar and Apt, 2008.
50 APS, 2007.
51 Electric Power Research Institute/Department of Energy. Handbook of Energy Storage for Transmission and Distribution Applications. Palo Alto, CA: 2003. 1001834. Chapter 15, p15-2.
52 Yan, Chi-Jen and Eric Williams (Nicholas Institute). 2009. Energy Storage for Low-carbon Electricity. Duke University Climate Change Policy Partnership.
53 Ibid.
54 Ibid.
55 The Energy Independence and Security Act of 2007 (EISA 2007) is an exception, as it provides $50 million in basic research funding, $80 million in applied research funding for automotive and utility energy storage, and defines “deployment and integration of advanced electricity storage and peak-shaving technologies, including plug-in electric and hybrid electric vehicles, and thermal-storage air conditioning” as a “Smart Grid” characteristic” and eligible for matching grants and other incentives for Smart Grid technologies found in the law. Source: Peters, Roger and Lynda O’Malley. 2008. Storing Renewable Power. Pembina Institute.
56 Margolis, R. M., and Kammen, D. M. 1999. “Underinvestment: The Energy Technology and R&D Policy Challenge.” Science. Vol. 285. no. 5428, pp. 690 – 692.
57 Load-following is an ancillary service is the electricity market defined as the ability of (usually a generator) to increase or decrease electricity output over a short period of time (15 minutes to an hour) according to the predicted change in electric demand throughout a day.
58 Nicholas Institute, 2009.
59 Ibid.
60 Ibid.